Enhancing the drug ontology with semantically-rich representations of National Drug Codes and RxNorm unique concept identifiers by Jonathan P. Bona, Mathias Brochhausen, William R. Hogan

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A realism-based approach to an ontological representation of symbiotic interactions by Matthew Diller, Evan Johnson, Amanda Hicks, William R. Hogan

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Concretizing plan specifications as realizables within the OBO foundry by William D. Duncan, Matthew Diller, Damion Dooley, William R. Hogan, John Beverley

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2246 by Caitrin W. McDonough, William R. Hogan, Betsy Shenkman, Rhonda M. Cooper-DeHoff

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CollaborationViz: interactive visual exploration of biomedical research collaboration networks. by Jiang Bian, Mengjun Xie, Teresa J Hudson, Hari Eswaran, Mathias Brochhausen, Josh Hanna, William R Hogan

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A study of deep learning methods for de-identification of clinical notes in cross-institute settings by Xi Yang, Tianchen Lyu, Qian Li, Chih-Yin Lee, Jiang Bian, William R. Hogan, Yonghui Wu

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A Checklist for Reproducible Computational Analysis in Clinical Metabolomics Research by Xinsong Du, Juan J. Aristizabal-Henao, Timothy J. Garrett, Mathias Brochhausen, William R. Hogan, Dominick J. Lemas

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Exploring the Relation between Contextual Social Determinants of Health and COVID-19 Occurrence and Hospitalization by Aokun Chen, Yunpeng Zhao, Yi Zheng, Hui Hu, Xia Hu, Jennifer N. Fishe, William R. Hogan, Elizabeth A. Shenkman, Yi Guo, Jiang Bian

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Exploring the feasibility of using real-world data from a large clinical data research network to simulate clinical trials of Alzheimer’s disease by Zhaoyi Chen, Hansi Zhang, Yi Guo, Thomas J. George, Mattia Prosperi, William R. Hogan, Zhe He, Elizabeth A. Shenkman, Fei Wang, Jiang Bian

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Initial Antihypertensive Regimens in Newly Treated Patients: Real World Evidence From the OneFlorida+ Clinical Research Network by Steven M. Smith, Almut G. Winterstein, Matthew J. Gurka, Marta G. Walsh, Shailina Keshwani, Anne M. Libby, William R. Hogan, Carl J. Pepine, Rhonda M. Cooper‐DeHoff

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Uncertainty-aware deep learning in healthcare: A scoping review. by Tyler J Loftus, Benjamin Shickel, Matthew M Ruppert, Jeremy A Balch, Tezcan Ozrazgat-Baslanti, Patrick J Tighe, Philip A Efron, William R Hogan, Parisa Rashidi, Gilbert R Upchurch, Azra Bihorac

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The BSSO Foundry: A community of practice for ontologies in the behavioural and social sciences [version 1; peer review: 1 approved, 2 approved with reservations] by Paulina Schenk, William R. Hogan, Robert West, Björn Gehrke, Janna Hastings, Marta M. Marques, Bruce Chorpita, Harriet M. Baird, Lisa Zhang, Thomas L. Webb, Geert Crombez, Susan Michie, Marie Johnston

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Ideal algorithms in healthcare: Explainable, dynamic, precise, autonomous, fair, and reproducible by Tyler J. Loftus, Patrick J. Tighe, Tezcan Ozrazgat-Baslanti, John P. Davis, Matthew M. Ruppert, Yuanfang Ren, Benjamin Shickel, Rishikesan Kamaleswaran, William R. Hogan, J. Randall Moorman, Gilbert R. Upchurch, Parisa Rashidi, Azra Bihorac

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Ideal algorithms in healthcare: Explainable, dynamic, precise, autonomous, fair, and reproducible. by Tyler J Loftus, Patrick J Tighe, Tezcan Ozrazgat-Baslanti, John P Davis, Matthew M Ruppert, Yuanfang Ren, Benjamin Shickel, Rishikesan Kamaleswaran, William R Hogan, J Randall Moorman, Gilbert R Upchurch, Parisa Rashidi, Azra Bihorac

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Sustainability considerations for clinical and translational research informatics infrastructure by Jihad S. Obeid, Peter Tarczy-Hornoch, Paul A. Harris, William K. Barnett, Nicholas R. Anderson, Peter J. Embi, William R. Hogan, Douglas S. Bell, Leslie D. McIntosh, Boyd Knosp, Umberto Tachinardi, James J. Cimino, Firas H. Wehbe

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Community-engaged artificial intelligence research: A scoping review by Tyler J. Loftus, Jeremy A. Balch, Kenneth L. Abbott, Die Hu, Matthew M. Ruppert, Benjamin Shickel, Tezcan Ozrazgat-Baslanti, Philip A. Efron, Patrick J. Tighe, William R. Hogan, Parisa Rashidi, Michelle I. Cardel, Gilbert R. Upchurch, Azra Bihorac

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Community-engaged artificial intelligence research: A scoping review. by Tyler J Loftus, Jeremy A Balch, Kenneth L Abbott, Die Hu, Matthew M Ruppert, Benjamin Shickel, Tezcan Ozrazgat-Baslanti, Philip A Efron, Patrick J Tighe, William R Hogan, Parisa Rashidi, Michelle I Cardel, Gilbert R Upchurch, Azra Bihorac

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Improving the Quality and Utility of Electronic Health Record Data through Ontologies by Asiyah Yu Lin, Sivaram Arabandi, Thomas Beale, William D. Duncan, Amanda Hicks, William R. Hogan, Mark Jensen, Ross Koppel, Catalina Martínez-Costa, Øystein Nytrø, Jihad S. Obeid, Jose Parente de Oliveira, Alan Ruttenberg, Selja Seppälä, Barry Smith, Dagobert Soergel, Jie Zheng, Stefan Schulz

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Classifying early infant feeding status from clinical notes using natural language processing and machine learning by Dominick J. Lemas, Xinsong Du, Masoud Rouhizadeh, Braeden Lewis, Simon Frank, Lauren Wright, Alex Spirache, Lisa Gonzalez, Ryan Cheves, Marina Magalhães, Ruben Zapata, Rahul Reddy, Ke Xu, Leslie Parker, Chris Harle, Bridget Young, Adetola Louis-Jaques, Bouri Zhang, Lindsay Thompson, William R. Hogan, François Modave

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A large language model for electronic health records by Xi Yang, Aokun Chen, Nima PourNejatian, Hoo Chang Shin, Kaleb E. Smith, Christopher Parisien, Colin Compas, Cheryl Martin, Anthony B. Costa, Mona G. Flores, Ying Zhang, Tanja Magoc, Christopher A. Harle, Gloria Lipori, Duane A. Mitchell, William R. Hogan, Elizabeth A. Shenkman, Jiang Bian, Yonghui Wu

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